Difference between revisions of "Normal mode analysis Gaucher Disease"
(→Atomic Displacement) |
(→Atomic Displacement) |
||
Line 98: | Line 98: | ||
<xr id="fig:atom_disp_7to12"/> shows the normalized square of the displacement of each C-alpha atom for mode 7 to 12. Narrow peaks denote local movements whereas broad peaks indicate larger flexible protein regions. <xr id="fig:fluc_plot"/> depicts the normalized fluctuation of each C-alpha atom calculated by averaging over the atomic displacements of all modes which are weighted by their eigenvalue. |
<xr id="fig:atom_disp_7to12"/> shows the normalized square of the displacement of each C-alpha atom for mode 7 to 12. Narrow peaks denote local movements whereas broad peaks indicate larger flexible protein regions. <xr id="fig:fluc_plot"/> depicts the normalized fluctuation of each C-alpha atom calculated by averaging over the atomic displacements of all modes which are weighted by their eigenvalue. |
||
− | Except for mode 9 and mode 10, the most flexible regions are at the beginning and at the end of the protein. All modes have clear peaks around range 55-65 and 439-442, which are also pronounces in <xr id="fig:fluc_plot"/>. Furthermore, these two regions seem to be correlated (<xr id="fig: |
+ | Except for mode 9 and mode 10, the most flexible regions are at the beginning and at the end of the protein. All modes have clear peaks around range 55-65 and 439-442, which are also pronounces in <xr id="fig:fluc_plot"/>. Furthermore, these two regions seem to be correlated (<xr id="fig:corr_matr"/>). We therefore visualized residue 55-65 and 439-442 (<xr id="fig:webnma_displacement"/>) and found that they are part of two loop regions on the surface. These two loop regions are significantly more flexible than other parts of the protein such as the active site residues E235 and E340 which both exhibit small displacement values for most modes. |
<br style="clear:both;"> |
<br style="clear:both;"> |
Revision as of 22:10, 16 July 2012
Contents
Introduction
The protein function often depends on its conformation and dynamical properties. To get a complete picture of the dynamic properties of proteins, the traditional de novo method is known to be Molecular dynamics (MD) simulation. These simulations consider both harmonic and anharmonic motions, and can provide insights into the dynamic of proteins. By taking into account all atoms of a protein, MD simulations shed also light on small motions. However, fine grained MD simulations are computationally very costly which restricts their use to rather short time frames.
An alternative method is Normal mode analysis (NMA) which has become a popular and often used theoretical tool in the study of functional motions in enzymes, viruses, and large protein assemblies<ref name="NMA1">Eric C Dykeman and Otto F Sankey.(2010). Normal mode analysis and applications in biological physics. JOURNAL OF PHYSICS.</ref>. NMA is based on a physical theory about the motion of an oscillation system where all parts within the system move sinusoidally with the same frequency and with a fixed phase relation. By using it to study the protein dynamical motion, the atoms are considered as point masses connected by springs to simulate the inter-atomic forces. NMA uses only harmonic approximations and anharmonic motions are neglected. <ref name="NMA2">Adam D. Schuyler, Gregory S. Chirikjian.(2003). [http://custer.lcsr.jhu.edu/wiki/images/7/76/Schuyler03.pdf Normal mode analysis of proteins: a comparison of rigid cluster modes with Cα coarse graining]. Journal of Molecular Graphics and Modelling.</ref>. Thus, the simulations are not as detailed as MD simulations. Instead, a normal mode refers to the harmonic motion of larger parts of a protein such as domains. Since the normal models can be computed efficiently by matrix decomposition, motions can be simulated over a larger time frame compared to MD simulations. The shape of each normal mode is determined by an eigenvector whose eigenvalue corresponds to the frequency of the normal mode. Normal modes are numbered by their frequency and the lowest frequency mode 7 is often closets to the biological motion of an protein.
In this task, we used different normal mode analysis servers to study the normal modes of chain A of glucocerebrosidase (2nt0). 2nt0_A is has N=496 residues such that there are altogether 3N-6=1482 normal modes.
Technical details are reported in our protocol.
WEBnm@
Introduction
WEBnm@<ref name="webnma">Siv Hollup, Gisle Salensminde, and Nathalie Reuter. WEBnm@: a web application for normal mode analyses of proteins. BMC Bioinformatics, 6(1):52+, 2005.</ref> is a web server for automatically computing and analysing low-frequency normal modes of proteins. WEBnm@ is based on the Elastic Network Model (ENM) and only takes into account the C-alpha atoms. For computing the 200 lowest frequency mode, WEBnm@ employs the MMTK package[1]. The server offers various methods for investigating the resulting normal modes:
- Visualization of the modes
- Deformation Energies
- Atomic displacements and normalized squared fluctuations
- Correlation matrix for investigating the which residue movements are correlated
Deformation Energies
The deformation energy is the potential energy of the motion described by a normal mode. <xr id="tab:defor_enery"/> lists the deformation energy of mode 7 to 20 and <xr id="fig:Eigenvalues_plot"/> shows the respective eigenvalue which corresponds to the frequency of the mode. The deformation energy is positive correlated with the eigenvalue, i.e. modes with a higher frequency also exhibit a higher deformation energy.
</figtable></figure>
<figtable id="tab:defor_enery">
| ||||||||||||||||||||||||||||||||||||
<figure id="fig:Eigenvalues_plot"> |
Correlation Matrix
<xr id="fig:corr_matr"/> depicts correlated motions of C-alpha. Each cell shows the isotropic correlation of two residues in the protein from -1 (anti-correlated) over 0 (uncorrelated) to 1 (correlated). The red areas along the diagonal suggest smaller local correlations. In addition, the N terminal region (1-100) is correlated with the C terminal region (350-500), that is, the beginning and the end of the protein exhibit similar motions.
<figure id="fig:corr_matr">
</figure>
Atomic Displacement
<xr id="fig:atom_disp_7to12"/> shows the normalized square of the displacement of each C-alpha atom for mode 7 to 12. Narrow peaks denote local movements whereas broad peaks indicate larger flexible protein regions. <xr id="fig:fluc_plot"/> depicts the normalized fluctuation of each C-alpha atom calculated by averaging over the atomic displacements of all modes which are weighted by their eigenvalue.
Except for mode 9 and mode 10, the most flexible regions are at the beginning and at the end of the protein. All modes have clear peaks around range 55-65 and 439-442, which are also pronounces in <xr id="fig:fluc_plot"/>. Furthermore, these two regions seem to be correlated (<xr id="fig:corr_matr"/>). We therefore visualized residue 55-65 and 439-442 (<xr id="fig:webnma_displacement"/>) and found that they are part of two loop regions on the surface. These two loop regions are significantly more flexible than other parts of the protein such as the active site residues E235 and E340 which both exhibit small displacement values for most modes.
<figure id="fig:atom_disp_7to12">
</figure>
<figure id="fig:fluc_plot"> |
<figure id="fig:webnma_displacement"> |
Mode Visualization
<figure id="fig:webnm_model7">
- Mode 7 presents a bending movement.
The visualization of mode 7 and the vectors showing the direction of the movements. </figure>
<figure id="fig:webnm_model8">
- Mode 8 presents less movement than mode 7, the end region shows more movement than the other regions.
The visualization of mode 8 and the vectors showing the direction of the movements. </figure>
<figure id="fig:webnm_model9">
- Mode 9 presents strong movement throughout the complete regions.
The visualization of mode 9 and the vectors showing the direction of the movements. </figure>
<figure id="fig:webnm_model10">
- Mode 10 presents strong movement throughout the complete regions similar to mode 9 with different movement directions.
The visualization of mode 10 and the vectors showing the direction of the movements. </figure>
<figure id="fig:webnm_model11">
- Mode 11 presents strong movement throughout the complete regions similar to mode 9 and 10.
The visualization of mode 11 and the vectors showing the direction of the movements. </figure>
<figure id="fig:webnm_model12">
- Mode 12 presents less movement than the other modes.
The visualization of mode 11 and the vectors showing the direction of the movements. </figure>
ElNemo
Introduction
elNémo is the Web-interface to create the Elastic Network Model which is a fast and simple tool to compute the low frequency normal modes of a protein. It was developed by Yves-Henri Sanejouand and co-workers in 1996.
elNémo allows the user to get the low frequency normal modes for a given protein structure in PDB format. There are different analysis tools available:
- compare the collectivity of the modes
- view 3-D animations of the protein movement for each mode
- identify those residues that have the largest distance fluctuations in a given mode.
- Compare B-factors derived from the normal mode decomposition and measured B-factors gives an indication on differences in protein flexibility of the free protein and the protein in a crystallographic environment.
If two conformations of the same protein are uploaded, the user will see the contribution of each mode to the conformational changes (overlap between a protein motion and a normal mode). If two homologous proteins are uploaded, the root mean square distance (RMSD) between all residues and the number of residues that are closer than 3A as a function of mode and perturbation can be computed.
Mode Visualization and distance fluctuation
In the following figures, the visualization of model 7 to 11 and their distance fluctuation are shown. The structure views are presented from three different orthologuous viewpoints where the secondary structures are determined from the C-alpha atom positions of the uploaded protein (N-terminal blue, C-terminal red). In the distance fluctuation map, each cell measures the relative movement between a pair of residues. One can find the rigid and the flexible regions of the protein, as well as their relative movements. The regions where the amino acid residues move as rigid bodies are shown in black. And the flexible segments are in blue or red. The blue parts indicate where the distance between two C-alpha atoms increases significantly, and the red parts where the distance decreases.
<figure id="fig:elne_model7">
- Mode 7 presents a bending and stretching movement.
The visualization of mode 7 and its distance fluctuation. </figure>
<figure id="fig:elne_model8">
- Mode 8 presents a bending and stretching movement as similar to mode 7 but towards different direction.
The visualization of mode 8 and its distance fluctuation. </figure>
<figure id="fig:elne_model9">
- Mode 9 presents a twisting movement.
The visualization of mode 9 and its distance fluctuation. </figure>
<figure id="fig:elne_model10">
- Mode 10 presents a movement of a mixture of bending,stretching and twisting.
The visualization of mode 10 and its distance fluctuation. </figure>
<figure id="fig:elne_model11">
- Mode 11 presents a twisting movement as similar to mode 9.
The visualization of mode 11 and its distance fluctuation. </figure>
References
<references/>